Security-aware filtering
Detect risky messages and anomalies before they become training data. Low-value samples are deprecated or sent to manual review.
ONLINE ADAPTATION / v0.4
Your model,
always learning.
Vqela is the operating system for models that learn in production. Turn live conversations into filtered training signals, safer LoRA updates, and continuously improving model versions.
Base weights remain frozen. Your data never leaves your boundary.
LIVE SYSTEM VIEW streaming
LIVEUser interactionsPrompts + feedback
↓
FILTEREDLearning signalsCurated + transformed
↓
VERSIONEDBetter modelA/B tested + reversible
0%base weights changed
64×fewer trainable params
24/7continuous adaptation
Built for the feedback loop
01 / THE ONLINE LEARNING SYSTEM
From interaction to improvement,
without losing control.
Vqela turns the production feedback loop into a disciplined system: collect, filter, transform, learn, enhance, and deploy.
STAGE 01 / USER SIGNALS
Collect real interactions
Every request, response, rating, correction, and uncertainty event becomes a trace from users working with the LLM in production.
trace = collect({
prompt, response, feedback,
conversation_id
}) checkpoint readyadapter delta +0.0021
02 / THREE OPERATING MODES
Inference, learning,
deployment.
Separate serving from updating. Requests stay fast while LoRA learns off-peak and new versions earn their way into production.
ACONTINUOUS EVOLUTIONrecommended
BASE
+ ADAPTER
new signalupdatecheckpointevaluate+ ADAPTER
One adapter compounds knowledge over time. Best for a consistent product voice and steadily improving behavior.
BMIXTURE OF LORAS
Route between specialized adapters. Best when contexts are distinct and a single update would blur expertise.
03 / TRUST BY DESIGN
Fast feedback.
Firm guardrails.
Inference stays pure
Serving is a low-latency forward pass with no gradient updates. Learning happens separately, during controlled off-peak windows.
Versioned promotion
Every model carries metrics, lineage, and a rollback path. Shadow evaluation and A/B testing make deployment reversible.
READY WHEN YOU ARE